{"id":{"repo_id":"utswmed","oai_identifier":"oai:utswmed-ir.tdl.org:2152.5/10824"},"canonical_url":"https://search.dev.ndltd.org/etd/utswmed/oai:utswmed-ir.tdl.org:2152.5/10824","repository":{"repo_id":"utswmed","name":"University of Texas Southwestern Medical Center","base_url":"https://utswmed-ir.tdl.org/server/oai/request"},"display":{"title":"Quantitative Analysis of the Spatial and Temporal Organization of Cell Surface Receptors","abstract":"Appendix B contains a previously published article, which is referenced below as a related citation.","abstract_html":"Appendix B contains a previously published article, which is referenced below as a related citation.","abstract_has_math":false,"creators":["Vega-Lugo, Jesus A."],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Reynolds, Kimberly A.","Jaqaman, Khuloud","Ross, Elliott M.","Rosen, Michael K."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2026,"date_issued":"2026-06-15T19:43:31Z","date_published":"2026-06-15T19:43:31Z","updated_at":"2026-07-24T05:52:17Z","subjects":["Cell Membrane","Image Processing, Computer-Assisted","Microscopy, Fluorescence","Receptors, Cell Surface","Signal Transduction"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["Sugiyama, M. G., Brown, A. I., Vega-Lugo, J., Borges, J. P., Scott, A. M., Jaqaman, K., Fairn, G. D., & Antonescu, C. N. (2023). Confinement of unliganded EGFR by tetraspanin nanodomains gates EGFR ligand binding and signaling. Nat Commun, 14(1), 2681. https://doi.org/10.1038/s41467-023-38390-z","1596185294"],"render_values":[{"text":"Sugiyama, M. G., Brown, A. I., Vega-Lugo, J., Borges, J. P., Scott, A. M., Jaqaman, K., Fairn, G. D., & Antonescu, C. N. (2023). Confinement of unliganded EGFR by tetraspanin nanodomains gates EGFR ligand binding and signaling. 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G., Brown, A. I., Vega-Lugo, J., Borges, J. P., Scott, A. M., Jaqaman, K., Fairn, G. D., & Antonescu, C. N. (2023). Confinement of unliganded EGFR by tetraspanin nanodomains gates EGFR ligand binding and signaling. Nat Commun, 14(1), 2681. https://doi.org/10.1038/s41467-023-38390-z","https://hdl.handle.net/2152.5/10824","1596185294"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Appendix B contains a previously published article, which is referenced below as a related citation.","Studying the spatial and temporal organization of molecules at the cell membrane is of vital importance for understanding how cells recognize and transmit signals. Fluorescent light microscopy has allowed us to monitor this organization at the single molecule level in its in-situ environment in live cells, motivating the development of image analysis tools to quantitatively characterize the spatiotemporal organization of signaling molecules. In this thesis, I describe the development of a conditional colocalization analysis algorithm designed to explore the interaction network of molecules within a signaling pathway. Additionally, I introduce a novel tool for characterizing the behavior of membrane molecules across different subcellular regions. Together, these analysis tools offer insights into how signaling molecules are distributed on the cell membrane and when and where they associate with each other, thus guiding future experiments."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Quantitative Analysis of the Spatial and Temporal Organization of Cell Surface Receptors"]}]}],"canonical_facts":{"dc:contributor":["Reynolds, Kimberly A.","Jaqaman, Khuloud","Ross, Elliott M.","Rosen, Michael K."],"dc:creator":["Vega-Lugo, Jesus A."],"dc:date":["2026-06-15T19:43:31Z","2024-05","May 2024"],"dc:description":["Appendix B contains a previously published article, which is referenced below as a related citation.","Studying the spatial and temporal organization of molecules at the cell membrane is of vital importance for understanding how cells recognize and transmit signals. Fluorescent light microscopy has allowed us to monitor this organization at the single molecule level in its in-situ environment in live cells, motivating the development of image analysis tools to quantitatively characterize the spatiotemporal organization of signaling molecules. In this thesis, I describe the development of a conditional colocalization analysis algorithm designed to explore the interaction network of molecules within a signaling pathway. Additionally, I introduce a novel tool for characterizing the behavior of membrane molecules across different subcellular regions. Together, these analysis tools offer insights into how signaling molecules are distributed on the cell membrane and when and where they associate with each other, thus guiding future experiments."],"dc:format":["application/pdf"],"dc:identifier":["Sugiyama, M. G., Brown, A. I., Vega-Lugo, J., Borges, J. P., Scott, A. M., Jaqaman, K., Fairn, G. D., & Antonescu, C. N. (2023). 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